Purpose: This study investigates the factors affecting Posttraumatic Growth (PTG) among nurses providing care for patients with COVID-19 in regional medical centers. Methods: A total of 170 nurses from D, P, and G regional medical centers participated in this study. Data were collected through self-administered questionnaires from March 16 to March 31, 2023. IBM SPSS Statistics 27 was used for data analysis, including descriptive statistics, t-test, ANOVA, Pearson’s correlation, and hierarchical regression analysis. Results: Statistically significant differences in PTG were observed based on gender, religion, and experience in caring for patients with emerging infectious diseases. PTG was significantly correlated with resilience, social support, and deliberate rumination. Resilience (β=.22, p=.003), social support (β=.18, p=.012), and deliberate rumination (β=.46, p<.001) were identified as factors influencing the posttraumatic growth of the participants. These variables accounted for 50.1% (F=29.33, p<.001) of the variances in PTG. Conclusion The findings of this study demonstrate the necessity of developing intervention and counseling programs aimed at enhancing deliberate rumination, resilience, and social support to promote PTG among nurses caring for patients with emerging infectious diseases.

Purpose: This study investigates the factors affecting Posttraumatic Growth (PTG) among nurses providing care for patients with COVID-19 in regional medical centers. Methods: A total of 170 nurses from D, P, and G regional medical centers participated in this study. Data were collected through self-administered questionnaires from March 16 to March 31, 2023. IBM SPSS Statistics 27 was used for data analysis, including descriptive statistics, t-test, ANOVA, Pearson’s correlation, and hierarchical regression analysis. Results: Statistically significant differences in PTG were observed based on gender, religion, and experience in caring for patients with emerging infectious diseases. PTG was significantly correlated with resilience, social support, and deliberate rumination. Resilience (β=.22, p=.003), social support (β=.18, p=.012), and deliberate rumination (β=.46, p<.001) were identified as factors influencing the posttraumatic growth of the participants. These variables accounted for 50.1% (F=29.33, p<.001) of the variances in PTG. Conclusion The findings of this study demonstrate the necessity of developing intervention and counseling programs aimed at enhancing deliberate rumination, resilience, and social support to promote PTG among nurses caring for patients with emerging infectious diseases.

Purpose: This study investigates the factors affecting Posttraumatic Growth (PTG) among nurses providing care for patients with COVID-19 in regional medical centers. Methods: A total of 170 nurses from D, P, and G regional medical centers participated in this study. Data were collected through self-administered questionnaires from March 16 to March 31, 2023. IBM SPSS Statistics 27 was used for data analysis, including descriptive statistics, t-test, ANOVA, Pearson’s correlation, and hierarchical regression analysis. Results: Statistically significant differences in PTG were observed based on gender, religion, and experience in caring for patients with emerging infectious diseases. PTG was significantly correlated with resilience, social support, and deliberate rumination. Resilience (β=.22, p=.003), social support (β=.18, p=.012), and deliberate rumination (β=.46, p<.001) were identified as factors influencing the posttraumatic growth of the participants. These variables accounted for 50.1% (F=29.33, p<.001) of the variances in PTG. Conclusion The findings of this study demonstrate the necessity of developing intervention and counseling programs aimed at enhancing deliberate rumination, resilience, and social support to promote PTG among nurses caring for patients with emerging infectious diseases.

Purpose: This study investigates the factors affecting Posttraumatic Growth (PTG) among nurses providing care for patients with COVID-19 in regional medical centers. Methods: A total of 170 nurses from D, P, and G regional medical centers participated in this study. Data were collected through self-administered questionnaires from March 16 to March 31, 2023. IBM SPSS Statistics 27 was used for data analysis, including descriptive statistics, t-test, ANOVA, Pearson’s correlation, and hierarchical regression analysis. Results: Statistically significant differences in PTG were observed based on gender, religion, and experience in caring for patients with emerging infectious diseases. PTG was significantly correlated with resilience, social support, and deliberate rumination. Resilience (β=.22, p=.003), social support (β=.18, p=.012), and deliberate rumination (β=.46, p<.001) were identified as factors influencing the posttraumatic growth of the participants. These variables accounted for 50.1% (F=29.33, p<.001) of the variances in PTG. Conclusion The findings of this study demonstrate the necessity of developing intervention and counseling programs aimed at enhancing deliberate rumination, resilience, and social support to promote PTG among nurses caring for patients with emerging infectious diseases.

Purpose: This study investigates the factors affecting Posttraumatic Growth (PTG) among nurses providing care for patients with COVID-19 in regional medical centers. Methods: A total of 170 nurses from D, P, and G regional medical centers participated in this study. Data were collected through self-administered questionnaires from March 16 to March 31, 2023. IBM SPSS Statistics 27 was used for data analysis, including descriptive statistics, t-test, ANOVA, Pearson’s correlation, and hierarchical regression analysis. Results: Statistically significant differences in PTG were observed based on gender, religion, and experience in caring for patients with emerging infectious diseases. PTG was significantly correlated with resilience, social support, and deliberate rumination. Resilience (β=.22, p=.003), social support (β=.18, p=.012), and deliberate rumination (β=.46, p<.001) were identified as factors influencing the posttraumatic growth of the participants. These variables accounted for 50.1% (F=29.33, p<.001) of the variances in PTG. Conclusion The findings of this study demonstrate the necessity of developing intervention and counseling programs aimed at enhancing deliberate rumination, resilience, and social support to promote PTG among nurses caring for patients with emerging infectious diseases.

OBJECTIVES: On Monday, September 6, 2021, at a kindergarten in Jeju Province, a large number of children vomited and developed food poisoning symptoms, and this necessitated an epidemiological investigation. METHODS: The team surveyed symptoms and food intake history of kindergarten children, teachers, and workers who ate lunch between September 2 (Thursday) and September 6 (Monday), excluding weekends. In addition to rectal swabs, environmental samples from preserved foods, cooking utensils, drinking water, and refrigerator handles were collected. Pulsed field gel electrophoresis (PFGE) for genetic fingerprint analysis was also performed. RESULTS: There were 19 cases among 176 subjects, which indicated an attack rate of 10.8%. The epidemic curve showed a unimodal shape, and the average incubation period was 2.6 hours. While no food was statistically significant in food intake history, the analysis of 35 rectal smear samples detected Bacillus cereus in 7 children, 4 teachers, and 1 cooking staff. Enterotoxins were also detected in 12 samples. Out of 38 environmental samples, B. cereus and enterotoxins were detected in the morning snack cereal, lunch bean sprouts, and afternoon snack steamed potatoes on Monday, September 6th. The result of the PFGE test on 10 isolates of B. cereus showed that there was no genetic homology. CONCLUSIONS Our results indicated that this outbreak was simultaneously caused by various strains of B. cereus from the environment.

PURPOSE: This study was intended to investigate the migrating motor complex (MMC) changes after ileal bypass in ex-vivo mouse models. METHODS: Partial (side-to-side) and total bypass (occlusion of proximal part of bypassed loop) were performed on ileums of female Institute of Cancer Research mice. After 2 and 4 weeks, the bypassed segments were harvested and MMCs were recorded at 4 different sites ex-vivo. Amplitude, duration, interval, direction of propagation, and the area under the curve (AUC) of MMCs were measured and compared to those of the controls. RESULTS: In control mice (n = 7), most MMCs propagated aborally (91.1%). After 2 weeks of partial bypass (n = 4), there was a significant decrease in both amplitude and AUC, and orally-propagating MMCs increased significantly (45%, P = 0.002). Bidirectional MMCs (originating in the bypassed loop and propagating in both directions) were also observed (10%). The amplitude of the MMCs remained decreased at 4 weeks after partial bypass (n = 4), and neither the AUC nor the direction of propagation showed significant changes compared to 2 weeks. Similarly, in the total bypass model, both the amplitude and AUC of the MMCs decreased significantly compared to controls. In contrast to partial bypass, 95% of the MMCs within the bypassed loop propagated aborally after 2 weeks (n = 6), which was similar to the control state. After 4 weeks (n = 5), however, MMCs either lost their temporal relationship or completely disappeared. CONCLUSION: The changes in propagation direction of the MMCs in the partially bypassed loop may contribute to stagnation of bowel contents and the development of blind loop syndrome.
Animals ; Area Under Curve ; Blind Loop Syndrome ; Female ; Humans ; Ileum ; Jejunoileal Bypass ; Mice ; Myoelectric Complex, Migrating

No abstract available.
Female ; Fetus* ; Hydatidiform Mole* ; Pregnancy

We performed dual color fluorescence in situ hybridization (FISH) for the bcr/abl fusion in CML using the peripheral blood smears without destruction of cell morphology to determine the bcr/abl fusion. Two patients of CML, one patient in accelerated phase and one patient in chronic phase, were selected. The blood smears were fixed in absolute methanol. FISH was performed with the Mbcr/abl translocation DNA probe mixture and the slides were stained with Wright's stain after FISH. The blood smears of both cases revealed distinct signals without destruction of cellular morphology. The normoblasts and lymphocytes revealed beautiful fused bcr/abl signals as well as granulocytes in both cases. The results provide a novel finding that the normoblasts and lymphocytes in CML are also neoplastic clonal cells which has not been demonstrated with a single-cell approach before.
DNA ; Erythroblasts* ; Fluorescence* ; Granulocytes ; Humans ; In Situ Hybridization ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive* ; Lymphocytes* ; Methanol

OBJECTIVE: Metastatic dissemination of epithelial ovarian carcinoma is thought to be mediated via tumor cell exfoliation into the peritoneal cavity, followed adhesion to and invasion through the mesothelium which overlies the contents of the peritoneal cavity. MMP-2 is secreted as a zymogen, the activation of which has been associated with metastatic progression in human ovarian cancer cell lines. METHODS: We have utilized short-term cultures to analyze the effect of specific extracellular matrix proteins, type I collagen. RESULTS: Culturing Caov-4 ovarian cell line on type I collagen led to a significant increase in conversion of the MMP-2,72kD to the MMP-2,66kD, and MT-MMP expression. MT-MMP expression correlates with expression and activation of MMP-2 during malignant progression. Altered MT-MMP expression in ovarian cell lines might contribute to MMP-2 activation, which facilitates invasion of these tumors. CONCLUSION: In summary, we found increased expression of MT-MMP that correlated with increased level of activated MMP-2 and cellular counts in chemoinvasion assay in Caov-3 cell line. But no significant increases in Skov-4 cell line on type I collagen. Conclusion: These data suggest that type I collagen induces MMP-2 activation in part by up-regulation of MT-MMP expression but has a more complicated mode of action involving additional processes.
Cell Line* ; Collagen Type I ; Epithelium ; Extracellular Matrix Proteins ; Humans ; Matrix Metalloproteinases* ; Membranes* ; Ovarian Neoplasms* ; Peritoneal Cavity ; Up-Regulation